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CandleScience · 3 months ago

Sr. Director of Data Analytics

Durham, NC

Full-time

Onsite

Director/Executive

10+ years exp

CandleScience is a leading company in the candle and soap making supplies industry, focused on developing natural and safe products. They are seeking a Sr. Director of Data Analytics to run the organization's data and analytics core competency, promoting a data-forward culture while managing the analytics team and developing data solutions to improve decision-making across the company.

Consumer GoodsE-CommerceRetail

Responsibilities

Assists with recruiting, interviewing, hiring, and training new staff

Oversees the daily workflow of the department

Provides constructive and timely performance evaluations

Assists with discipline and termination of employees in accordance with company policy

Design, build, and maintain a durable, flexible, and secure, data ecosystem that includes data from a myriad of sources including data warehouses and cloud storage, APIs, SaaS platforms, and even local files like excel spreadsheets/google sheets

Ensure clear documentation and lineage is maintained that supports auditing, collaboration, and troubleshooting throughout the system

Collaborate with stakeholders across the business to regularly assess needs and surface analysis opportunities

Serve as the primary Administrator of the organization's BI deployment (Looker) and ensure users have access to the data they need while maintaining security around sensitive data like financial records

Manage data infrastructure/cloud costs, continually looking for ways to improve efficiency and performance

Develop, architect, propose, and implement core data engineering, business intelligence, and data warehouse frameworks, systems, and best practices in support of key company data initiatives including: forecasting and predictive analysis, CAC/LTV and customer profiling, fulfillment and warehouse optimization, inventory productivity, marketing performance and attribution, financial audits and modeling, and more

Plays an active role in budgeting and forecasting the business and working with key leaders in predicting future activities and results

Qualification

Data ecosystem designBusiness intelligence administrationData engineering frameworksSQL capabilitiesCloud databases experienceSaaS APIs architectureStatistical analysis literacyAnalytical skillsMachine learning conceptsData modelingInterpersonal skillsOrganizational skillsLeadership skillsProblem-solving skillsAttention to detail